Dates to be communicated to members as per schedule
Research is the foundation of medical innovation, driving advancements in diagnosis, treatment, and patient care. The Radiology Research Incubator is designed to mentor and guide students in initiating and conducting impactful radiology-based research projects. This program aims to provide structured support for medical students and early-career researchers interested in exploring the vast and evolving field of radiology research.
Objectives
- Introduce fundamental concepts of radiology research methodologies, including retrospective, prospective, and meta-analytical studies.
- Guide participants through the process of research design, from hypothesis formulation to data collection and analysis.
- Provide hands-on training in statistical tools, imaging-based data interpretation, and manuscript writing.
- Help students navigate the process of submitting research to peer-reviewed journals, conferences, and funding agencies.
- Foster collaborations with radiology faculty, clinicians, and data scientists for interdisciplinary research.
Program Highlights
- Workshops on study design, ethical approvals, and IRB submissions.
- Hands-on training in data analysis software like SPSS, R, and Python for radiology research.
- Guidance on writing abstracts, research papers, and systematic reviews.
- Support in preparing submissions for leading radiology conferences such as RSNA, ACR, and ECR.
- Mentorship from experienced researchers and radiologists.
This initiative is ideal for students looking to develop a strong research portfolio, contribute to medical literature, and gain an edge for residency applications. Join us to transform your research ideas into published studies!
Dates to be communicated to members as per schedule
The integration of Artificial Intelligence (AI) and Radiomics is revolutionizing medical imaging, enabling faster, more precise, and automated diagnostics. The Radiomics & AI in Radiology workshop explores cutting-edge advancements in AI-assisted image analysis, deep learning algorithms, and the future of automated radiology workflows.
Objectives
- Introduce the principles of AI, machine learning, and deep learning in radiology.
- Explain radiomics, the extraction of high-dimensional data from medical images to aid in precision medicine.
- Explore the role of AI in image reconstruction, automated detection of abnormalities, and workflow optimization.
- Discuss challenges, ethical considerations, and regulatory aspects of AI integration in radiology.
- Provide hands-on experience with AI-based radiology tools and imaging datasets.
Program Highlights
- Introduction to AI in Radiology – Understanding neural networks, convolutional neural networks (CNNs), and their role in medical imaging.
- Radiomics & Predictive Analytics – Extracting quantitative imaging biomarkers to aid in diagnosis and prognosis.
- Practical Demonstrations – Hands-on exposure to AI-powered DICOM viewers, segmentation tools, and predictive modeling.
- Applications in Clinical Radiology – How AI is transforming areas such as lung nodule detection, breast cancer screening, and stroke imaging.
- Future Trends & Career Opportunities – Emerging roles for radiologists in AI-driven imaging and research collaborations.
This session is designed for students, radiologists, and AI enthusiasts looking to explore the intersection of technology and medical imaging. Join us to gain insights into the future of radiology and AI-driven diagnostics!
Dates to be communicated to members as per schedule
As radiology becomes increasingly digital, proficiency in medical imaging software is crucial for accurate interpretation, efficient workflow, and advanced image processing. The Medical Imaging Software Workshop offers hands-on training in Picture Archiving and Communication Systems (PACS), Digital Imaging and Communications in Medicine (DICOM), and advanced post-processing tools used in modern radiology practice.
Objectives
- Introduce the fundamentals of PACS, DICOM standards, and interoperability in medical imaging.
- Provide hands-on training in DICOM image viewing, manipulation, and analysis.
- Demonstrate advanced imaging software used for 3D reconstructions, volumetric analysis, and AI-assisted diagnostics.
- Familiarize participants with workflow optimization, teleradiology, and cloud-based imaging solutions.
- Enhance technical proficiency in handling real-world imaging datasets.
Program Highlights
- PACS & DICOM Basics – Understanding how medical images are stored, transmitted, and retrieved.
- Hands-on Training – Using popular DICOM viewers such as OsiriX, RadiAnt, and Horos.
- 3D Reconstruction & Post-Processing – Techniques for CT and MRI volumetric rendering.
- AI-Integrated Imaging Platforms – Exposure to software that automates lesion detection and segmentation.
- Teleradiology & Remote Reporting – Understanding cloud-based imaging solutions for remote consultations.
This workshop is ideal for medical students, radiology residents, and healthcare professionals looking to build technical expertise in medical imaging software. Join us to gain hands-on experience and stay ahead in digital radiology!
Dates to be communicated to members as per schedule
Presenting research at prestigious radiology conferences is a key milestone for medical students and researchers looking to advance in academic radiology. The Radiology Conference Presentations Workshop is designed to equip participants with the skills needed to prepare abstracts, create compelling presentations, and deliver impactful talks at conferences such as RSNA (Radiological Society of North America), ACR (American College of Radiology), ECR (European Congress of Radiology), and national radiology meetings.
Objectives
- Guide participants on selecting research topics, structuring abstracts, and following conference submission guidelines.
- Train students in effective poster and oral presentation techniques.
- Provide tips on data visualization, slide design, and public speaking to enhance audience engagement.
- Offer insights into networking, Q&A handling, and making an impression at academic conferences.
- Discuss strategies for publishing research in radiology journals post-conference.
Program Highlights
- Abstract Writing Masterclass – Understanding different abstract formats (structured vs. unstructured) and submission criteria.
- Scientific Poster Design – How to create visually appealing and informative research posters.
- Oral Presentation Skills – Techniques for engaging delivery, handling audience questions, and time management.
- Practical Session on Presentation Software – Training on PowerPoint, Prezi, and graphical tools for research visualization.
- Mock Presentation & Feedback – Hands-on practice with expert feedback to refine presentation skills.
Presenting at major radiology conferences not only enhances academic credentials but also opens doors to networking, collaborations, and future research opportunities. Join this workshop to develop the confidence and skills needed to present your research at the global stage!